Welcome to this new blog on Artificial Intelligence. In this blog and in the next few blogs, I hope to share and discuss my knowledge relating Artificial Intelligence, in addition to explaining the main concepts underlying Artificial Intelligence.
(Note: 🤖 is the closest emoji relating to AI, although AI isn't just robots!)
We've probably all heard of the term. In particular, over the last few years, its popularity and applications have skyrocketed. 🚀
But what exactly is AI?
Artificial Intelligence (AI) is human-like intelligence demonstrated by a computer.
AI allows computers to solve problems and deal with certain situations in a similar way that humans would.
It can also be described as a computer or machine which takes actions, depending on its environment, in order to maximise the chances of success, which would depend on the scenario where AI is being used.
For example, let's say we have an AI model to identify several different traffic signs.
The AI model won't just be able to identify a traffic sign. It must first be shown some traffic signs, for it to build up an understanding of what these different traffic signs look like. Then, based upon what it 'learnt' from these traffic signs, it can apply that knowledge to images of these same traffic signs that it hasn't seen before.
AI in image recognition involves many other algorithms, for example removing unnecessary information from the image. However, the concept of how AI models are trained and built can be applied to other cases too.